MCQs on HDFS Architecture Deep Dive | Hadoop HDFS

200+ Free Hadoop HDFS MCQ Quiz |Intermediate| MCQs on HDFS Hadoop MCQs on HDFS Architecture Deep Dive | Hadoop HDFS

Explore the HDFS Architecture, uncover the internals of NameNode and DataNode, understand metadata management, and dive into communication mechanisms and file system namespace operations for robust Hadoop implementation.

MCQs on HDFS Architecture Deep Dive

Section 1: NameNode and DataNode Internals (10 Questions)

What is the primary role of the NameNode in HDFS?
- a) Manage metadata and regulate access to files
- b) Store actual data blocks
- c) Handle resource management
- d) Perform distributed job execution
What is the main responsibility of the DataNode in HDFS?
- a) Manage and store data blocks
- b) Maintain metadata of files
- c) Perform load balancing
- d) Synchronize with other DataNodes
Where does the NameNode store metadata?
- a) In its own memory and on disk
- b) In the DataNode storage
- c) In external databases
- d) In a dedicated metadata server
How does the DataNode communicate its availability to the NameNode?
- a) By sending heartbeat signals
- b) By storing logs in HDFS
- c) By sharing block information
- d) By performing a periodic sync operation
What happens if a NameNode fails in HDFS?
- a) The entire HDFS becomes inaccessible
- b) The DataNodes continue operating independently
- c) A backup NameNode takes over automatically
- d) New files can still be added but not accessed
Which files are used by the NameNode to store its metadata?
- a) fsimage and edits
- b) hdfs-site.xml
- c) core-site.xml
- d) namenode-config
What is the primary function of a Secondary NameNode?
- a) To periodically merge the fsimage and edits log files
- b) To act as a backup NameNode
- c) To handle block replication
- d) To balance data across DataNodes
Which process in the DataNode is responsible for managing data blocks?
- a) Block Storage Service
- b) Data Block Manager
- c) File Replication Handler
- d) Resource Monitor
How is the block size in HDFS typically configured?
- a) In the hdfs-site.xml configuration file
- b) In the core-site.xml configuration file
- c) It is set dynamically based on file size
- d) It cannot be configured
What is the default block size in HDFS?
- a) 128 MB
- b) 64 MB
- c) 256 MB
- d) 1 GB

Section 2: Metadata Management in HDFS (8 Questions)

What is metadata in HDFS?
- a) Information about file storage and block locations
- b) The actual data stored in HDFS blocks
- c) Network configuration details of HDFS
- d) Version history of HDFS clusters
Which file stores the metadata image of HDFS?
- a) fsimage
- b) blockimage
- c) metadata-log
- d) namenode-log
What is the edit log used for in HDFS?
- a) To record all changes made to the file system metadata
- b) To store block replication details
- c) To manage cluster resource allocation
- d) To maintain DataNode logs
How does the NameNode ensure consistency in metadata?
- a) By periodically checkpointing the fsimage and edit log
- b) By syncing metadata with the DataNodes
- c) By using redundant storage for metadata
- d) By updating metadata in real-time
What is the checkpoint process in HDFS?
- a) Merging the fsimage and edit log into a new fsimage
- b) Verifying the block replicas on DataNodes
- c) Backing up the DataNode storage
- d) Syncing block data with the Secondary NameNode
How often does the Secondary NameNode perform the checkpoint process?
- a) Based on the configured interval in hdfs-site.xml
- b) Every time a file is added to HDFS
- c) Only during manual triggers
- d) It does not perform checkpointing
What happens to the edit log after a checkpoint is created?
- a) It is cleared
- b) It is archived for future use
- c) It continues to store new transactions
- d) It is deleted permanently
Why is metadata caching used in HDFS?
- a) To improve the performance of metadata queries
- b) To reduce block replication time
- c) To minimize the storage footprint of HDFS
- d) To enable faster recovery of lost blocks

Section 3: Communication Between NameNode and DataNodes (7 Questions)

What type of signals are used by DataNodes to communicate with the NameNode?
- a) Heartbeats
- b) Ping requests
- c) Block reports
- d) Sync messages
How often are block reports sent from DataNodes to the NameNode?
- a) Every hour
- b) Periodically based on configuration in hdfs-site.xml
- c) Every minute
- d) Only during cluster setup
What happens if a DataNode stops sending heartbeats?
- a) The NameNode marks it as dead and re-replicates its blocks
- b) The DataNode is restarted automatically
- c) The cluster continues operating without any impact
- d) The NameNode deletes all metadata related to the DataNode
What is the purpose of the block report sent by DataNodes?
- a) To provide the NameNode with a list of blocks stored on the DataNode
- b) To update the replication factor of blocks
- c) To synchronize logs with the NameNode
- d) To report disk usage statistics
Which protocol is used for communication between NameNode and DataNodes?
- a) RPC (Remote Procedure Call)
- b) HTTP
- c) FTP
- d) HTTPS
What does the NameNode do when it receives a heartbeat from a DataNode?
- a) It marks the DataNode as active
- b) It requests a block report
- c) It initiates block replication
- d) It updates the fsimage
How does the NameNode detect disk failures on DataNodes?
- a) Through block reports and heartbeats
- b) By analyzing log files
- c) Using manual health checks
- d) Through cluster-wide maintenance jobs

Section 4: File System Namespace Operations (5 Questions)

What is the namespace in HDFS?
- a) The hierarchy of directories and files in the HDFS file system
- b) A network space used for cluster communication
- c) A dedicated resource for block storage
- d) A unique identifier for DataNodes
Which operation is not part of HDFS namespace management?
- a) Listing files in a directory
- b) Reading a file from HDFS
- c) Replicating data blocks
- d) Deleting files
What happens when a new file is created in HDFS?
- a) The NameNode updates its namespace metadata
- b) The DataNode directly creates a block
- c) The file is replicated immediately
- d) A checkpoint is created
How are namespace operations in HDFS optimized for performance?
- a) By storing metadata in memory on the NameNode
- b) By caching files in DataNodes
- c) By reducing the replication factor
- d) By scheduling periodic syncs
What command is used to list the files in the HDFS namespace?
- a) hadoop fs -ls
- b) hdfs list
- c) hadoop ls
- d) hdfs namespace -list

Answers Table

Qno	Answer (Option with the text)
1	a) Manage metadata and regulate access to files
2	a) Manage and store data blocks
3	a) In its own memory and on disk
4	a) By sending heartbeat signals
5	a) The entire HDFS becomes inaccessible
6	a) `fsimage` and `edits`
7	a) To periodically merge the `fsimage` and `edits` log files
8	a) Block Storage Service
9	a) In the `hdfs-site.xml` configuration file
10	a) 128 MB
11	a) Information about file storage and block locations
12	a) `fsimage`
13	a) To record all changes made to the file system metadata
14	a) By periodically checkpointing the `fsimage` and `edit log`
15	a) Merging the `fsimage` and `edit log` into a new `fsimage`
16	a) Based on the configured interval in `hdfs-site.xml`
17	a) It is cleared
18	a) To improve the performance of metadata queries
19	a) Heartbeats
20	b) Periodically based on configuration in `hdfs-site.xml`
21	a) The NameNode marks it as dead and re-replicates its blocks
22	a) To provide the NameNode with a list of blocks stored on the DataNode
23	a) RPC (Remote Procedure Call)
24	a) It marks the DataNode as active
25	a) Through block reports and heartbeats
26	a) The hierarchy of directories and files in the HDFS file system
27	c) Replicating data blocks
28	a) The NameNode updates its namespace metadata
29	a) By storing metadata in memory on the NameNode
30	a) `hadoop fs -ls`

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